Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Cardiac digital twins provide a physics and physiology informed framework to deliver
personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to …
personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to …
Branched latent neural maps
Abstract We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional
input–output maps encoding complex physical processes. A BLNM is defined by a simple …
input–output maps encoding complex physical processes. A BLNM is defined by a simple …
An optimization framework to personalize passive cardiac mechanics
Personalized cardiac mechanics modeling is a powerful tool for understanding the
biomechanics of cardiac function in health and disease and assisting in treatment planning …
biomechanics of cardiac function in health and disease and assisting in treatment planning …
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
We study the problem of multifidelity uncertainty propagation for computationally expensive
models. In particular, we consider the general setting where the high-fidelity and low-fidelity …
models. In particular, we consider the general setting where the high-fidelity and low-fidelity …
Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Recently, significant efforts have been made to create Health Digital Twins (HDTs), Digital
Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …
Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …
Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing
Current treatments of cardiac arrhythmias like ventricular fibrillation involve the application of
a high-energy electric shock, that induces significant electrical currents in the myocardium …
a high-energy electric shock, that induces significant electrical currents in the myocardium …
Physics-based reduced order modeling for uncertainty quantification of guided wave propagation using bayesian optimization
Guided wave propagation (GWP) is commonly employed for the design of SHM systems.
However, GWP is sensitive to variations in the material properties, often leading to false …
However, GWP is sensitive to variations in the material properties, often leading to false …
Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators
P Dominguez-Gomez, A Zingaro, L Baldo-Canut… - npj Digital …, 2024 - nature.com
In silico trials for drug safety assessment require many high-fidelity 3D cardiac simulations to
predict drug-induced QT interval prolongation, which is often computationally prohibitive. To …
predict drug-induced QT interval prolongation, which is often computationally prohibitive. To …
Real-time whole-heart electromechanical simulations using latent neural ordinary differential equations
Cardiac digital twins provide a physics and physiology informed framework to deliver
predictive and personalized medicine. However, high-fidelity multi-scale cardiac models …
predictive and personalized medicine. However, high-fidelity multi-scale cardiac models …
A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system
Impaired cardiac function has been described as a frequent complication of COVID-19-
related pneumonia. To investigate possible underlying mechanisms, we represented the …
related pneumonia. To investigate possible underlying mechanisms, we represented the …